<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Openai on Devops Monk</title><link>https://devops-monk.com/tags/openai/</link><description>Recent content in Openai on Devops Monk</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 03 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://devops-monk.com/tags/openai/index.xml" rel="self" type="application/rss+xml"/><item><title>Spring AI 2.0: Build a RAG Application with Spring Boot</title><link>https://devops-monk.com/2026/05/spring-ai-rag-application/</link><pubDate>Sun, 03 May 2026 00:00:00 +0000</pubDate><guid>https://devops-monk.com/2026/05/spring-ai-rag-application/</guid><description>Spring AI 1.0 GA shipped in May 2025. It brings the Spring programming model to AI development: a unified ChatClient API that works across Claude, OpenAI, Gemini, Ollama, and Azure OpenAI — switching AI providers is changing one dependency.
This guide builds a complete RAG (Retrieval-Augmented Generation) application that answers questions about your documentation using any AI provider.
What Is RAG? A large language model (LLM) knows everything in its training data but nothing about your specific documents, code, or business data.</description></item></channel></rss>